AI-Driven Human-Machine Interaction for Biomedical Engineering

1. Basics, Constraints, and Future Potential of Machine Learning in HMI<br>2. Human-Computer Interaction for Cardiac Feedback: A Physics-Guided Deep Learning Approach<br>3. Classification of Steady State Visual Evoked Potentials in Brain-Computer Interface systems using Python<br>4. Contactless Vital Sign Monitoring Through Intelligent Human-Machine Interaction (HMI): A Systematic Review of Image- and Video-Based Techniques<br>5. AI-driven Scalable Software Architecture for Enhancing Human-Machine Interaction in Biomedical Data Ecosystems<br>6. AI-Driven Depression Detection Using EEG Signal Determinants and MTO<br>7. EEG-Driven Machine Learning for Recognition of Emergency Numbers for Crisis Readiness: A Translational Study<br>8. Suppression of Artifacts from EEG Signals using Quadratic Relative Error based LMS (QRE-LMS) Algorithm<br>9. Two-Stage Verification for Multi-Instance Feature Selection in Dental Anomaly Detection: A CNN-GRU Approach with Explainable AI and Optimization Techniques<br>10. Performance Evaluation of Vision Transformers for AI-driven Diagnosis of Bleeding Detection in Wireless Endoscopy Bleeding<br>11. Human Machine Interface In Healthcare Imaging And Medical Treatments<br>12. State-of-the-art methods for diagnosis of acute leukemia: A survey<br>13. Optimized Feature Subsets for Characterizing Fetal QRS Complexes in Non-Invasive Abdominal ECG Recordings<br>14. Multimodal AI in Human-Computer Interaction: Transforming Medical Feedback Delivery<br>15. Computer Vision for AI-Driven Human-Machine Interaction and Enhanced Diagnosis<br>16. Human-Machine Interaction in AI-Assisted Medical Diagnosis: Challenges and Future Directions